by secretiveshell
Windows System Control enables win automation with AI for media playback, window management, screenshots, theme changes,
Provides AI control over Windows system functions like media playback, window management, screenshots, and system settings. Lets you automate common Windows tasks through AI commands.
Windows System Control is a community-built MCP server published by secretiveshell that provides AI assistants with tools and capabilities via the Model Context Protocol. Windows System Control enables win automation with AI for media playback, window management, screenshots, theme changes, It is categorized under productivity, developer tools.
You can install Windows System Control in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Windows System Control is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
README content is unavailable from source data for this server.
Open GitHub repository →Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Strong directory entry: Windows System Control surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Windows System Control has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: Windows System Control surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Windows System Control is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Windows System Control is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Windows System Control is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated Windows System Control against two servers with overlapping tools; this profile had the clearer scope statement.
We evaluated Windows System Control against two servers with overlapping tools; this profile had the clearer scope statement.
We wired Windows System Control into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Strong directory entry: Windows System Control surfaces stars and publisher context so we could sanity-check maintenance before adopting.
showing 1-10 of 28
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
